Senior Data Quality Engineer

LexisNexis Risk Solutions

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You'll architect AI-driven automation to ensure data quality and make a positive societal impact.

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Full-time

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Remote (for Mexico residents)

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29 days ago

Architect and maintain end-to-end test automation frameworks (APIs, data pipelines, applications). Build and evolve data quality and validation systems for large-scale datasets. Design proactive monitoring and data profiling strategies. Automate engineering workflows using Python and CI/CD pipelines. Leverage AI/LLMs to accelerate testing, documentation, and code review. Work with distributed systems and cloud-based data platforms.

About LexisNexis Risk Solutions:

At LexisNexis Risk Solutions®, we believe in using data for good to solve problems and make a positive impact on people, industry and society. We deliver enhanced value to our customers by leveraging the power of insight through data, advanced analytics and innovative technologies to help them solve problems, make better decisions and improve operations. Our technologies, decision tools and services give our customers a clear advantage in evaluating and predicting risk, enhancing operational efficiency and protecting their consumers. Our businesses span the following sectors: Aviation | Chemicals/Energy | Corporations/Non-Profits | Financial Services | Government | Healthcare | HR | Insurance | Law Enforcement & Public Safety | Tax | Retail/Ecommerce

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